Red zones”, travel bans, quarantines, “red lists”. A “Second Wave” has been announced.
The fear campaign has gone into overdrive. Millions of people are lining up for Covid-19 testing.
Drastic state measures are contemplated, including restrictions on social gatherings, marriages, funerals, the closing down of restaurants and bars, the outright paralysis of civil society.
Coming to the rescue of our citizens. What is the justification?
This article focusses on the “Numbers Game”. How statistics and “estimates” are used by politicians to justify the closure of the national economy and the derogation of fundamental civil rights.
From the onset of the Covid crisis in January 2020, far-reaching decisions taken by the WHO and national governments have been justified by citing “estimates” of the Covid-19 disease as well “statistics” pointing to a Worldwide spread of a new deadly coronavirus originating in Wuhan, China.
Scientific analysis confirms that these estimates of “confirmed cases” tabulated by the WHO and the CDC are subject to error. The tests do not detect or identify the virus. Moreover, the figures are often manipulated to justify political decisions.
Both the concepts as well as the test results do not point to the existence of a Worldwide Covid-19 pandemic. Nor do they justify social distancing, the face mask and the closing down of the global economy.
Corruption prevails at the highest levels of government as well within the upper echelons of the United Nations system. The entire state apparatus as well as inter-governmental organizations are controlled by powerful financial interests.
Millions of people are now being tested which contributes to increasing the number of so-called “confirmed” Covid positive cases Worldwide. These statistics are then carefully tabulated. The governments need those numbers to justify their totalitarian measures.
What’s the Big Lie? What’s the Smoking Gun?
SARS-CoV-2 is NOT A “KILLER VIRUS”. The fear campaign has no scientific basis. (See analysis below)
The standard RT-PCR test used to “detect” the insidious Virus, “can not identify the Virus”.
In early January 2020, a so-called novel coronavirus entitled SARS-CoV-2 , which causes “coronavirus disease 2019, or COVID-19” was identified. It was given a similar name to an existing coronavirus, namely SARS-CoV, i.e. the beta coronavirus that causes the severe acute respiratory syndrome (SARS)
According to renowned immunologist Dr. Beda Stadler of Bern University,
“this so-called novel virus is very strongly related to SARS-1 as well to as other beta-coronaviruses which make us suffer every year in the form of colds.”
Stadler also begs the question: Is this a new virus or the mutation of an existing virus, “similar to the corona beta cold viruses”.
According to a recent study by Tsan-Yuk Lam, Na Jia, et al (Joint Institute of Virology, Shantou and Hong Kong universities):
“…the [SARS-2] virus [is] most closely related (89.1% nucleotide similarity) to a group of SARS-like coronaviruses (genus Betacoronavirus, subgenus Sarbecovirus) (Nature, April 2020).
Moreover, the studies of Dr. Anthony Fauci et al in the New England Journal of Medicine as well as the WHO acknowledge that Covid-19 has similar features to seasonal influenza (Viruses A and B). (For further details, see Michel Chossudovsky, September 2020)
What these scientific statements convey is that SARS-2 (which causes Covid-19) is not a killer virus. In fact quite the opposite.
But neither the governments nor the media have reassured public opinion.
The fear campaign not only prevails, it is gaining momentum.
At this juncture of the Covid-19 crisis, governments are envisaging the launching of extreme measures in response to a so-called “Second Wave”. In turn, several media are now spreading stories that this Second Wave is comparable to the 1918 Spanish Flu:
At this point in the coronavirus pandemic, with more than 32 million infected and more than 980,000 dead worldwide, describing this time as “unprecedented” may sound like nails on a chalkboard. This pandemic, however, actually isn’t without precedent: The last time we dealt with a pandemic so mysterious, uncontained and far-reaching was in 1918, when influenza devastated populations around the globe. (CNN, September 25, 2020)
Flashback to March 11, 2020: The Launching of the WHO Pandemic
On March 11, the WHO officially declared a Worldwide pandemic at a time when there were 18,000 confirmed cases and 4291 deaths out of a total World population outside China of the order of 6.4 billion people. What do these “statistics” tell you? Most of these confirmed “positive cases” were estimated using the RT-PCR test which does not detect or identify the virus. (See our analysis below)
Immediately following the March 11 WHO announcement the fear campaign went into high gear. Confinement instructions were transmitted to 193 member states of the United Nations. The outright closing down of national economies was upheld as a means to resolving a public health crisis.
Politicians are the instruments of powerful financial interests. Was this far-reaching decision justified as a means to combating the Virus? Did the “numbers” (of confirmed cases) justify a Worldwide pandemic?
Unprecedented in history, applied almost simultaneously in a large number countries, entire sectors of the World economy were destabilized. Small and medium sized enterprises were driven into bankruptcy. Unemployment and poverty are rampant.
In some countries famines have erupted. The social impacts of these measures are devastating.
The devastating health impacts (mortality, morbidity) of these measures including the destabilization of the system of national health care (in numerous countries) far surpass those attributed to Covid-19.
The Rush to Get Tested
In a large number of countries, simultaneously, people are encouraged to get tested which in turn contributes to increasing exponentially the number of so-called confirmed Covid-19 “positive cases”. Facilities are set up all over the country.
Panic prevails. national authorities establish testing facilities, do it yourself testing kits, etc.
People stand in line to get tested. The estimates are often manipulated.
In England “People stand in drive-thru lines as testing centres hit capacity”